This repository contains code for apps that explore various applications of artificial intelligence (AI). The project focuses on building command-line tools that leverage AI functionalities from OpenAI and Gemini.
The course OpenAI with Node.js from Frontend Masters covers fundamental concepts such as word embeddings, vector stores, and semantic search. Additionally, real-world applications have been built, including:
- Semantic Search Engine: A search experience that understands the meaning of queries beyond keyword matching.
- Document Question Answering (QA): Extraction of factual information from a knowledge base by asking questions in natural language.
- Function Calling with AI: Exploration of how AI can interact with external systems by calling functions, with a focus on responsible development.
Learning Outcomes:
- Gain a practical understanding of core AI concepts.
- Build foundational skills in text embeddings, vector stores, and semantic search.
- Develop real-world AI applications.
- Learn best practices for deploying AI models in production.
- Emphasize the transition from development to production.
- highlighting the scaling challenges one might encounter.